Computationalskills are an indispensable part of physics learning and are used inboth experimental data processing and theoretical analysis. Thelecture team for Computational Physics at the School of Physicsprovides some necessary courses for students for them to learnrelated computing skills. In accordance with the principle of gradualprogress, the corresponding courses are interspersed during thestudents’ study to meet the demand for computing skills in otheradvanced courses.
Thesecourses can be divided into elementary computational physics (level1), intermediate computational physics (level 2), and advancedcomputational physics (level 3). Among them, primary computationalphysics mainly includes computer programming language andfoundamentals ofdata structures,such as C language, FORTRAN language and so on. Intermediatecomputational physics mainly includes numerical methods and numericalprogram design and problems with their uses, such as the finitedifference method, finite volume method, and so on. Advancedcomputational physics mainly includes some other numerical simulationmethods, high-performance computational methods, such as moleculardynamics, and some practical applications of computational methods,combined with some commercial software for demonstration, such asMathematica introduction, finite element method and COMSOLintroduction, and also includes the introduction of data analysis andartificial intelligence, etc.
Professorsin charge: Yubin Zhou, Lianchun Yu
contact:yulch@lzu.edu.cn,13919834673
mybzhou@aliyun.com, 13369495809
